Induction loop detectors have become the most utilized sensors in traffic management systems. The gathered traffic data is used to improve traffic efficiency (i.e., warning users about congested areas or planning new infrastructures). Despite their usefulness, their deployment and maintenance costs are expensive. Vehicular networks are an emerging technology that can support novel strategies for ubiquitous and more cost-effective traffic data gathering. In this article, we propose and evaluate VIL (Virtual Induction Loop), a simple and lightweight traffic monitoring system based on cooperative vehicular communications. The proposed solution has been experimentally evaluated through simulation using real vehicular traces.
Leduc, G. Road Traffic Data: Collection Methods and Applications. JRC 47967; European Commission: Seville, Spain, 2008.
[3]
Viarani, E. Extraction of Traffic Information from Images at DEIS. Proceedings of the 10th International Conference on Image Analysis and Processing, Venice, Italy, 27–29 September 1999; pp. 1073–1076.
[4]
Intelligent Transport Systems (ITS); Vehicular Communications; Basic Set of Applications; Part 2: Specification of Cooperative Awareness Basic Service; European Telecommunications Standards Institute: Sophia Antipolis Cedex, France, 2011.
[5]
Terms of Reference for Technical Committee (TC) Intelligent Transport Systems (ITS). Available online: http://portal.etsi.org/its/its_tor.asp (accessed on 22 January 2013).
[6]
Intelligent Transport Systems (ITS); Communications Architecture; European Telecommunications Standards Institute: Sophia Antipolis Cedex, France, 2009.
[7]
Jiang, D.; Delgrossi, L. IEEE 802.11p: Towards an International Standard for Wireless Access in Vehicular Environments. Proceedings of the IEEE Vehicular Technology Conference, Singapore, 11–14 May 2008; pp. 2036–2040.
[8]
Bauza, R.; Gozalvez, J. Traffic congestion detection in large-scale scenarios using vehicle-to-vehicle communications. J. Netw. Comput. Appl. 2012. in press.
[9]
Veins–Vehicles in Network Simulation. Available online: http://veins.car2x.org/ (accessed on 22 January 2013).
[10]
OMNeT++. Available online: http://www.omnetpp.org/ (accessed on 22 January 2013).
[11]
Sommer, C.; German, R.; Dressler, F. Bidirectionally coupled network and road traffic simulation for improved IVC analysis. IEEE Trans. Mob. Comput. 2011, 10, 3–15.
[12]
SUMO Simulation of Urban MObility. Available online: http://sumo.sourceforge.net/ (accessed on 22 January 2013).
